Design of a Decision Support and Service System for Academic Big Data in Universities

Based on university academic big data, the design idea of a decision support and service system to meet the academic data needs in universities is studied. The method of integrating discrete, heterogeneous and multi-source academic data through the datafication of all activities related to academics is proposed. It achieves data collaboration among researchers, research teams, academic papers, academic publications, subject areas and institutions. It is oriented towards academic data to build different application scenarios such as resource evaluation, talent construction, innovation leading and performance improvement, and establish a decision support system to promote knowledge innovation of university researchers.